The incidence and prevalence of Dupuytren's disease in primary care: results from a text mining approach on registration data.

ABSTRACT:

Background

The focus of research and management of Dupuytren's disease (DD) is shifting from relieving symptoms in the later stages of disease towards the prevention of contractures. Treatment services might likewise shift towards primary care. Studying characteristics of DD patients who seek medical care for the first time, may identify a symptomatic target group for early DD treatments. We present the first study that estimates the incidence and prevalence of DD in primary care by applying a text-mining algorithm to registration data.

Methods

This is a population-based cohort study using electronic health records from Dutch general practices involved in a regional research network. Descriptive statistics were used to describe sex, age, comorbidities and lifestyle factors,

SUBMITTER: van Straalen RJM 

PROVIDER: S-EPMC11834792 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature